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Blood-based markers (BBMs) have recently shown promise to revolutionize the diagnostic and prognostic work-up of Alzheimer's disease (AD), as well as to improve the design of interventional trials. Here we discuss in detail further research needed to be performed before widespread use of BBMs. We already now recommend use of BBMs as (pre-)screeners to identify individuals likely to have AD patholo
Contemporary research and teaching on global environmental politics (GEP) draw upon many approaches to understanding the ways in which states and societies respond to transboundary environmental problems (see Chapter 2). Approaches that emphasize the state (see Chapter 7) and international organizations (see Chapter 8) derive in a straightforward way from scholarly work in international relations
The construction industry is often described as mature, conservative and resistant to change in research studies, governmental reports as well as in media. Both scholars and policy makers thereby find it critical to encourage innovation, development, and change within the construction industry. This study takes on a different perspective by investigating changes that have actually taken place. The
Chemicals is the industrial sector with the highest energy demand, using a substantial share of global fossil energy and emitting increasing amounts of greenhouse gasses following rapid growth over the past 25 years. Emissions associated with energy use have increased with growth in coal-dependent regions but are also commonly underestimated in regions with higher shares of renewable energy. Renew
Introduction: Due to its universal applicability for early detection and prediction of cancer stage and disease recurrence, widespread implementation of serum-based prostate-specific antigen (PSA) measurements has a significant influence on current treatment strategies for men with prostate cancer (PCa). However, over-detection and the resultant over-treatment of indolent cancers have been strongl
While the Transformer architecture has become ubiquitous in the machine learning field, its adaptation to 3D shape recognition is non-trivial. Due to its quadratic computational complexity, the self-attention operator quickly becomes inefficient as the set of input points grows larger. Furthermore, we find that the attention mechanism struggles to find useful connections between individual points
Ice fragments are generated by sublimation of ice particles in subsaturated conditions in natural clouds. Conceivably, such sublimational breakup would be expected to cause ice multiplication in natural clouds. Any fragment that survives will grow to become ice precipitation that may sublimate and fragment further. As a first step toward assessing this overlooked process, a formulation is proposed
The magnon Hedin's equations are derived via the Schwinger functional derivative technique, and the resulting self-consistent Green's function (GF) method is used to calculate ground state spin patterns and magnetic structure factors for two-dimensional magnetic systems with frustrated spin-12 Heisenberg exchange coupling. Compared with random phase approximation treatments, the inclusion of a sel
BACKGROUND: KRAS mutation can alter the treatment plan after resection of colorectal cancer. Despite its importance, the KRAS status of several patients remains unchecked because of the high cost and limited resources. This study developed a deep neural network (DNN) to predict the KRAS genotype using hematoxylin and eosin (H&E)-stained histopathological images. STUDY DESIGN: Three DNNs were c
The steel industry is a major contributor to emissions of CO2 and key air pollutants. Reducing air pollution has since long been a policy priority in China. Reducing CO2 emissions has more recently also become a key priority partially manifested through the signing of the Paris Agreement in 2015. Although there are often synergies between reducing CO2 emissions and air pollution, it may have impli
The Cherenkov Telescope Array (CTA) will be the next-generation observatory in the field of very-high-energy (20 GeV to 300 TeV) gamma-ray astroparticle physics. Classically, data analysis in the field maximizes sensitivity by applying quality cuts on the data acquired. These cuts, optimized using Monte Carlo simulations, select higher quality events from the initial dataset. Subsequent steps of t
In the last two decades, very-high-energy gamma-ray astronomy has reached maturity: over 200 sources have been detected, both Galactic and extragalactic, by ground-based experiments. At present, Active Galactic Nuclei (AGN) make up about 40% of the more than 200 sources detected at very high energies with ground-based telescopes, the majority of which are blazars, i.e. their jets are closely align
The petrochemicals industry (mainly plastics and fertilizer production) is expanding, despite increasing attention to the environmental impact of petrochemicals. In our paper, we explore the role public finance plays in the petrochemicals industry. We do so by mapping the public and private financial flows into large-scale petrochemical projects for the decade 2010-20 and discuss the role of publi
A survey of nuclear structure results obtained along α-decay chains stemming from isotopes of element 114, Fl, and element 115, Mc, is presented. Measures taken to ensure a reliable hand-over of nuclear spectroscopy output to nuclear structure theory are outlined. Possible links between decay chains starting from element 117, Ts, and element 115, Mc, are commented on. The experiments were conducte
In this paper, we present a new account of teleological reasons, i.e. reasons to perform a particular action because of the outcomes it promotes. Our account gives the desired verdict in a number of difficult cases, including cases of overdetermination and non-threshold cases like Parfit’s famous Drops of water. The key to our account is to look more closely at the metaphysics of causation. Accord
We report on the development of a method based on recombinant yeast Saccharomyces cerevisiae to produce nonivamide, a capsaicinoid and potent agonist of the pain receptor TRPV1. Nonivamide was produced in a two-step batch process where yeast was i) grown aerobically on glucose and ii) used to produce nonivamide from vanillin and non-anoic acid by bioconversion. The yeast was engineered to express
The turbulent business environment highlights the need for strategies for mitigating, responding to, and recovering from (that is, managing) supply chain disruptions. Resources are central in these strategies but remain unspecified in the literature. This paper shows how the resource interaction approach (RIA) can help understanding resources in this setting by acknowledging their interactive and
Faithful modeling of tissues and organs requires the development of systems reflecting their dynamic 3D cellular architecture and organization. Current technologies suffer from a lack of design flexibility and complex prototyping, preventing their broad adoption by the scientific community. To make 3D cell culture more available and adaptable we here describe the use of the fused deposition modeli
Leaf functional traits are key indicators of plant functions useful for inferring complex plant processes, including their responses to environmental changes. Vegetation indices (VIs) composed of a few reflectance wavelengths hold the advantages of being relatively simple and effective and have been widely used within remote sensing to estimate leaf traits. However, the difference between the refl
